In this part, we’ll discuss how to convert questions into statements or vice versa. As you know, in English word order in questions differs from word order in statements. You already saw a simple example of translating a question into a statement in part 1 of this article series. In this article, we’ll take a closer look at this problem,...
Tag: intent recognition
Intelligent Text Generation with spaCy Part2
Word sequence patterns based on linguistic features and introduced in the previous article in this series are not the only means of intelligent text processing and text generation. This article focuses on another common technique based on using syntactic dependency trees. This is also one of those techniques that you can use to teach your conversational application to generate meaningful...
Intelligent Text Generation with spaCy Part1
The most challenging tasks in natural language processing are natural language understanding and natural language generation. This article focuses on the latter, giving an example of how you might teach your conversational application to respond properly to its users. Of course, you will not find here a universal solution that covers all possible cases and can be implemented with just...
Parsing Intents and Their Targets into SQL Queries with spaCy: Part 2
In the previous article of this series, you learned that spaCy allows you to train its parser to be specific to your domain, which can be useful if you, for example, are developing a conversational application. In the example given in the article, you were guided through the steps of preparing training examples for the parser and then training the...
Parsing Intents and Their Targets into SQL Queries with spaCy: Part 1
People use natural languages to communicate with each other. To efficiently interact with a machine, good knowledge of programming languages is required. Natural Language Processing (NLP) is here to enable human-machine communications through natural languages. This is however, a very general notion of what NLP is. Intuitively, it may seem that an NLP-enabled application understands human speech natively, like a...